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gr 0.26.0

GR is a universal framework for cross-platform visualization
applications. It offers developers a compact, portable and consistent
graphics library for their programs. Applications range from publication
quality 2D graphs to the representation of complex 3D scenes.

GR is essentially based on an implementation of a Graphical Kernel
System (GKS) and OpenGL. As a self-contained system it can quickly and
easily be integrated into existing applications (i.e. using the
ctypes mechanism in Python or ccall in Julia).

The GR framework can be used in imperative programming systems or
integrated into modern object-oriented systems, in particular those
based on GUI toolkits. GR is characterized by its high
interoperability and can be used with modern web technologies. The GR
framework is especially suitable for real-time or signal processing
environments.

GR was developed by the Scientific IT-Systems group at the Peter
Gruenberg Institute at Forschunsgzentrum Juelich. The main development has
been done by Josef Heinen who currently maintains the software, but
there are other developers who currently make valuable contributions.
Special thanks to Florian Rhiem (GR3] and Christian Felder (qtgr,
setup.py).

Starting with release 0.6 GR can be used as a backend for
Matplotlib and significantly improve the
performance of existing Matplotlib or PyPlot applications written in
Python or Julia, respectively. In
this tutorial
section you can find some examples.

Beginning with version 0.10.0 GR supports inline graphics which shows
up in IPython’s Qt Console or interactive computing environments for
Python and Julia, such as IPython and
Jupyter. An interesting example can be found
here.